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cff-version: 1.2.0
title: "BuildOcc: ATUS-grounded LLM occupant agents for building energy simulation"
message: "If you use this software, please cite it using the metadata from this file."
type: software
authors:
- family-names: Jung
given-names: Wooyoung
email: j2prosperous@gmail.com
affiliation: "University of Arizona"
orcid: "https://orcid.org/0000-0003-2746-4983"
repository-code: "https://github.com/humanbuildingsynergy/BuildOcc"
license: Apache-2.0
version: 1.0.1
date-released: "2026-09-02"
doi: "10.5281/zenodo.22255938"
identifiers:
- type: doi
value: "10.5281/zenodo.22255938"
description: "Archived v1.0.1 release (Zenodo)"
- type: doi
value: "10.5281/zenodo.21192894"
description: "Concept DOI — always resolves to the latest version"
- type: doi
value: "10.5281/zenodo.21192895"
description: "Archived v1.0.0 release (Zenodo)"
keywords:
- occupant behavior
- building energy simulation
- large language models
- agent-based modeling
- American Time Use Survey
- demand response
abstract: >-
BuildOcc provides LLM-based occupant agents for building energy simulation,
grounded in American Time Use Survey (ATUS) microdata. It offers a Python
agent library, a REST API, and an MCP server, with ATUS-grounded activity
scheduling across four demographic strata, persona generation with EIA RECS
appliance priors, a Park et al. (2023) memory stream, a demand-response signal
typology, and two-tier behavioral and energy validation metrics.
preferred-citation:
type: article
title: "BuildOcc: A large language model occupant agent platform for building energy research"
authors:
- family-names: Jung
given-names: Wooyoung
affiliation: "University of Arizona"
orcid: "https://orcid.org/0000-0003-2746-4983"
journal: "SoftwareX"
year: 2026
start: "103068"
doi: "10.1016/j.softx.2026.103068"
url: "https://doi.org/10.1016/j.softx.2026.103068"
notes: "Open access. Accepted manuscript also on arXiv: https://arxiv.org/abs/2609.02729"